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在消除环境中使用实验室结果综合算法对麻疹突破性病例进行分类:为何敏感和特异性 IgM 检测很重要。

Classification of measles breakthrough cases in an elimination setting using a comprehensive algorithm of laboratory results: why sensitive and specific IgM assays are important.

机构信息

Center for Immunization and Respiratory Diseases, Division of Viral Diseases, Centers for Disease Control and Prevention (CDC), Atlanta, GA, USA.

Department of Medicine, University of Barcelona, Barcelona, Spain and CIBERESP, Institut of Health Carlos III, Madrid, Spain.

出版信息

Int J Infect Dis. 2021 Nov;112:21-24. doi: 10.1016/j.ijid.2021.09.004. Epub 2021 Sep 8.

Abstract

OBJECTIVE

In 2006, a measles outbreak occurred in Catalonia (Spain), six years after endemic measles was declared eliminated. This study aimed to classify 19 confirmed measles breakthrough cases (BC) using a high-performance avidity assay developed in 2010.

METHODS

Serum specimens were tested by indirect IgG, indirect IgM, capture IgM enzyme immunoassay, an endpoint-titer IgG avidity assay, and a plaque reduction neutralization assay. Serology and RNA detection results were combined in an algorithm for measles confirmation and classification of breakthrough cases and analyzed with clinical and epidemiological data.

RESULTS

Of 19 samples, thirteen (68%) were conclusive with the classification of BCs, and six (32%) had false-positive IgM results on an indirect-format assay; they were classified as rash and fever illness of undetermined etiology. BCs were primary vaccine failures (seven or 54%), secondary vaccine failures (four or 31%), and two (15%) could not be classified.

CONCLUSIONS

In measles elimination settings, high-performing assays and a comprehensive algorithm of laboratory results (IgG, IgM, and RNA detection), including IgG avidity and PRN results when necessary, can assist in accurate laboratory confirmation and classification of suspected measles cases for surveillance. Highly specific IgM assays are required to minimize the number of false-positive results.

摘要

目的

2006 年,在宣布消灭地方性麻疹六年后,加泰罗尼亚(西班牙)发生了麻疹暴发。本研究旨在使用 2010 年开发的高敏亲和力测定法对 19 例确诊的麻疹突破病例(BC)进行分类。

方法

通过间接 IgG、间接 IgM、捕获 IgM 酶免疫测定法、终点滴度 IgG 亲和力测定法和蚀斑减少中和测定法检测血清标本。将血清学和 RNA 检测结果结合在用于麻疹确认和突破病例分类的算法中,并结合临床和流行病学数据进行分析。

结果

在 19 份样本中,13 份(68%)具有明确的 BC 分类,6 份(32%)间接测定法的 IgM 结果为假阳性;它们被归类为原因不明的皮疹和发热疾病。BC 为原发性疫苗失败(7 例或 54%)、继发性疫苗失败(4 例或 31%)和 2 例(15%)无法分类。

结论

在消除麻疹的环境中,高敏测定法和综合实验室结果算法(IgG、IgM 和 RNA 检测),包括必要时的 IgG 亲和力和 PRN 结果,可协助对疑似麻疹病例进行准确的实验室确认和分类,以便进行监测。需要高度特异性的 IgM 测定法,以尽量减少假阳性结果的数量。

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